Therefore, the total loss is shown as Eq (REF ), and the MST minimizes the loss over ImageNet [1]} dataset in pre-training.
\(L_{total}(\theta _s) = \lambda _1 * L_{CE}(\theta _s;x) + \lambda _2 * L_{restoring}(\theta _s;x)\) 
